Incidents
occurring
on
road
networks
can
be
highly
disruptive
and
significantly
influence
traffic
flow.
Resilience
analysis
seeks
to
measure
the
implications
of
such
disturbances
by
assessing
capacity
a
network
absorb
respond
disruptive/adverse
events.
In
this
research,
we
establish
an
approach
evaluate
vulnerability
identify
critical
segments
intersections
investigating
consequences
simulated
closures
at
various
locations
within
designated
study
areas.
The
suggested
technique
employs
two-divided
analyze
controlled
uncontrolled/free-flow
highway
portions.
uses
simulation
tools
quantify
robustness
characterize
networks.
Then,
methodology's
usefulness
is
demonstrated
through
existing
transportation
in
Qatar
rank
links
main
nodes
impact
level.
This
research
offers
planners
with
effective
quantitative
tool
detect
vulnerabilities
their
network.
Consequently,
used
guide
designing
plans
actions
reduce
likely
harmful
impacts
events
towards
maintaining
resilient
infrastructure.
Computers & Industrial Engineering,
Год журнала:
2024,
Номер
192, С. 110176 - 110176
Опубликована: Апрель 25, 2024
Efficiency
and
profitability
are
the
main
drivers
of
globalization
have
led
to
long
complex
supply
chains.
Recent
disturbances
such
as
COVID-19
or
Suez
Canal
obstruction
caused
severe
disruptions
thereby
unveiled
vulnerability
global
trade.
Resilient
chains
characterized
by
capacity
absorb,
adapt
to,
restore
after
disruptions.
Building
upon
established
concept
'resilience
curve',
this
article
explores
interplay
between
resilience
capacities,
metrics,
actions
in
state-of-the-art
literature.
We
first
analyze
harmonize
terminology
used
describe
capacities
well
metrics
for
quantifying
resilience.
This
results
a
set
17
that
all
characteristics
curve
can
be
tool
assess
chain.
Subsequently,
we
propose
how
these
applied
quantify
effect
actions.
Finally,
which
proposed
literature
classify
those
according
their
relation
traditional
chain
planning
tasks.
Practitioners
decision-makers
implement
strengthen
absorptive,
adaptive,
restorative
provided
with
mathematical
formulations
strengthening
Academic
research
can,
inter
alia,
integrate
into
multi-criteria
optimization
models
decision-making
explore
economic
efficiency,
environmental
sustainability,
